Logo
Amazon

Delivery Consultant - GenAI/ML, AWS Industries

Amazon, Dallas, Texas, United States, 75215

Save Job

Delivery Consultant - GenAI/ML, AWS Industries Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts BASIC QUALIFICATIONS - Experience developing software code in one or more programming languages (java, python, etc.)

Interested in this role You can find all the relevant information in the description below. - Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - 2+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences) PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 - Strong working knowledge of deep learning, machine learning and statistics - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. The base salary for this position ranges from $99,900/year up to $166,900/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.

#J-18808-Ljbffr